Cognitive Classification for Input Management
Published: November 25, 2021
Last update: September 15, 2026

For automation tools, however, this heterogeneous flow of information often poses a major challenge. Traditional classifiers in input management are often optimized for specific formats and therefore quickly reach their limits. Not so with Insiders’ new cognitive classifier, which relies on deep learning—and thus takes the automation of business processes to a whole new level.
“The more precise and comprehensive the input management is, the more efficiently the data can be utilized in subsequent processes.”
The hybrid cognitive classifier developed by Insiders Technologies analyzes a document as a whole in a single step, combining cognitive capabilities such as image recognition, reading, and recognizing structures and layouts. The hybrid cognitive classifier integrates various AI methods and combines their respective strengths into a single deep-learning algorithm. It is precisely this combination that results in significant process acceleration and increased automation rates.
The journal *Versicherungswirtschaft* also reports on Insiders Technologies’ cognitive classifier in its latest issue (Vol. 76 | November 2021). Using practical examples from the insurance industry, authors Karl-Josef Krechel-Mohr and Dr. Darko Obradovic demonstrate the enormous cost-saving potential that these new classification options unlock in companies’ input management.
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